Control system and control method

Abstract

This makes it possible to produce goods while imposing certain limits on carbon dioxide emissions. [Solution] The estimation unit 141 estimates the amount of carbon dioxide gas emissions generated by the power generation of the amount of electricity to be consumed by the electrical system. This electrical system is used for the production of goods. The estimation unit 141 estimates the amount of carbon dioxide gas emissions when producing goods according to predetermined production plan information by operating each electrical device constituting this electrical system in a predetermined operating pattern. The determination unit 142 uses the emission estimation results to determine the operating pattern for each electrical device constituting the electrical system when the emission satisfies predetermined limiting conditions. The control unit 150 controls each electrical device constituting the electrical system to operate in the determined operating pattern.

Description

Technical Field

[0001] The present invention relates to the technology of controlling electrical equipment.

Background Art

[0002] Various technologies have been proposed to contribute to the reduction of carbon dioxide gas, which is a greenhouse gas emitted by energy consumption (see, for example, Patent Documents 1 to 3). In addition, an evaluation method for the contribution amount of greenhouse gas emission reduction by such technologies has been proposed (see, for example, Non-Patent Document 1).

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Patent Document 2

Patent Document 3

Non-Patent Documents

[0004] [[ID=XXX]] [[ID=XXX]]

Non-Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0012] As industrial equipment for realizing the production and transportation of articles, an electrical system including a plurality of electrical equipment such as drive equipment can be cited. In order to reduce the energy consumed in the production and transportation of articles, it is important to control the operation of these electrical equipment to reduce the energy consumption of the electrical equipment.

[0006] On the other hand, in recent years there has been a widespread demand for reducing greenhouse gas emissions. Greenhouse gas emissions generated by the energy consumed by electrical equipment can be reduced, for example, by changing the production process or the transportation process of goods. The amount of reduction achieved by implementing such methods is called the amount of avoided emissions, and its use is expanding, for example, as an indicator to showcase the results of efforts to address environmental issues. [Means for solving the problem]

[0007] One embodiment of the control system comprises an estimation unit, a determination unit, and a control unit. The estimation unit estimates the amount of carbon dioxide gas emitted by the power generation that will be consumed by the electrical system. This electrical system is used for the production of goods, and the estimation unit estimates the amount of carbon dioxide gas emitted when producing goods according to predetermined production plan information by operating each electrical device constituting the electrical system in a predetermined operating pattern. The determination unit uses the emission estimation results to determine the operating pattern for each electrical device constituting the electrical system when the emission satisfies predetermined limiting conditions. The control unit controls each electrical device constituting the electrical system to operate in the determined operating pattern. [Effects of the Invention]

[0008] According to the above embodiment, it becomes possible to produce goods while imposing predetermined limits on carbon dioxide gas emissions. [Brief explanation of the drawing]

[0009] [Figure 1] This figure illustrates an overview of an embodiment of the present invention. [Figure 2] This figure shows a detailed configuration example of an optimization system that implements the present invention. [Figure 3] This figure shows an example of data storage in the data storage unit. [Figure 4] This figure shows an example of the hardware configuration of an information processing device. [Figure 5] It is a flowchart showing the processing content of an example of control processing. [Figure 6] It is a flowchart showing the processing content of the first carbon dioxide emission estimation process. [Figure 7] It is a flowchart showing the processing content of the operation pattern determination process. [Figure 8] It is a flowchart showing the processing content of the second carbon dioxide emission estimation process. [Figure 9] It is a flowchart showing the processing content of the production plan determination process. [Figure 10] It is a flowchart showing the processing content of the machine learning process.

Mode for Carrying Out the Invention

[0010] Hereinafter, an embodiment of a production system of an article, which is an example of an electric system used for the production of an article, will be described in detail with reference to the drawings.

[0011] FIG. 1 is a diagram for explaining the outline of an embodiment of the present invention.

[0012] As shown in FIG. 1, in the present embodiment, an electric system 10, a power receiving and transformation system 20, a power consumption measurement system 30, and a production management system 40 are installed inside the factory 1. Further, as shown in FIG. 1, in the present embodiment, an external database 50, a carbon dioxide emission reduction contribution amount calculation system 60, and an optimization system 100 are installed outside the factory 1.

[0013] The electric system 10 is a system used for the production of an article. Although two electric systems 10 are shown as installed in the factory 1 in FIG. 1, the number of electric systems 10 installed in the factory 1 is not limited to two and may be any number.

[0014] The electrical system 10 is a system used for the production of articles and includes electrical equipment 11. In FIG. 1, each electrical system 10 is shown as being composed of two electrical devices 11, but the number of electrical devices 11 constituting each electrical system 10 is not limited to two and may be any number. Also, one electrical device 11 may be a component of each of a plurality of electrical systems 10.

[0015] The electrical equipment 11 is a drive device in this embodiment, and examples thereof include machine tools, conveyors, transfer robots, automated guided vehicles (AGVs), and the like. The electrical equipment 11 includes a rotating machine 12 and an inverter 13 that supplies power to the rotating machine 12 to operate it.

[0016] In this embodiment, the operation of the electrical equipment 11 is controlled by a PLC 101. "PLC" is an abbreviation for Programmable Logic Controller. By causing the PLC 101 to execute a predetermined control program, the PLC 101 controls the operation of the inverter 13, and the electrical equipment 11 can be operated in a predetermined operation pattern corresponding to the control program. Note that the "operation pattern" is a combination of the order of each operation in a plurality of operations performed by the electrical equipment 11 in relation to the production of articles, and operation parameters such as the operation timing, operation speed, and operation amount of each operation, and is various parameters set for the electrical equipment 11.

[0017] Furthermore, the electrical equipment 11 is further equipped with a power consumption sensor 14. The power consumption sensor 14 measures the voltage and current applied from the power receiving and transforming system 20 to the inverter 13 of the electrical equipment 11, and obtains the power consumption of the electrical equipment 11 by multiplying these measured values. Alternatively, the power consumption sensor 14 may further measure the voltage and current applied from the inverter 13 to the rotating machine 12 of the electrical equipment 11, and obtain the power consumption of the rotating machine 12 by multiplying these measured values. Alternatively, the power consumption sensor 14 may obtain the power consumption of the inverter 13 by subtracting the power consumption of the rotating machine 12 from the power consumption of the electrical equipment 11.

[0018] The power receiving and transforming system 20 receives and transforms the power required to operate the factory 1, and supplies power to each electrical device 11 provided by the electrical system 10.

[0019] In this embodiment, the power to operate Factory 1 is supplied from multiple sources, and the proportion of power supplied by each source is changed in real time. The power receiving and transforming system 20 has information on proportion data that shows the proportion of power supplied by each source to Factory 1, which is the location where the electrical system 10 is installed. The proportion data is calculated, for example, from the power supplied by each source.

[0020] As shown in Figure 1, the rechargeable battery 21 may be connected to the power receiving and transforming system 20. When there is a surplus of power supplied from each power source relative to the power required to operate Factory 1, the power receiving and transforming system 20 stores the surplus power in the rechargeable battery 21. The stored rechargeable battery 21 may be used, for example, as one of the power sources to operate Factory 1.

[0021] The power consumption measurement system 30 collects information on the power consumption of each electrical device 11, which is measured by the power consumption sensor 14 provided in each electrical device 11.

[0022] The Production Management System (PMS) 40 is a system that manages the production plan for goods at Factory 1. The Production Management System 40 holds production plan information for goods at Factory 1. This production plan information includes, for example, information that associates the brand name (name of the goods to be produced), the production quantity of the goods, and the production time (production schedule) of the goods.

[0023] The external database 50 stores emission coefficient data for the power sources that operate Factory 1. The emission coefficient is the value of the amount of carbon dioxide gas emitted in the generation of a unit amount of electricity at the power source that operates Factory 1. In this embodiment, this emission coefficient data is provided in real time from each power source and stored in the external database 50.

[0024] The carbon dioxide emission reduction contribution calculation system 60 calculates the emission reduction contribution, which is the amount of reduction that the electrical system 10 has contributed to in reducing the amount of carbon dioxide gas emitted by the generation of electricity supplied to the electrical system 10 used in the production of goods.

[0025] The carbon dioxide emission reduction contribution calculation system 60 uses information on the power consumption of each electrical device 11 that constitutes the electrical system 10 used in the production of goods to calculate the carbon dioxide gas emissions for the current electrical system 10. The carbon dioxide emission reduction contribution calculation system 60 calculates the difference between the emissions calculated in this way and the emissions from the base system as the reduction contribution. The base system is the electrical system 10 that was used in the production of goods in the past, and is the system before it was updated for the electrical system 10 currently used in the production of the same goods. In this embodiment, it is assumed that the carbon dioxide gas emissions from past goods production by the base system are pre-registered in the carbon dioxide emission reduction contribution calculation system 60.

[0026] The carbon dioxide emission reduction contribution calculation system 60 calculates the emission reduction contribution using the information obtained from the power receiving and transforming system 20, the power consumption measurement system 30, the production management system 40, and the external database 50.

[0027] For the sake of simplicity, in the following explanation, the carbon dioxide emission reduction contribution calculation system 60 may be simply referred to as "calculation system 60," and carbon dioxide gas emissions may be simply referred to as "emissions."

[0028] The optimization system 100 is a control system that controls each electrical device 11 that constitutes the electrical system 10. For this control, the optimization system 100 determines the operating pattern of each electrical device 11 that constitutes the electrical system 10 so that the emissions when goods are produced according to a predetermined production plan using the electrical system 10 meet predetermined limiting conditions.

[0029] The control of electrical equipment 11 by the optimization system 100 utilizes production plan information, information on the power consumption of each electrical equipment 11 constituting the electrical system 10, percentage data information, and emission coefficient data information as needed. In the embodiment shown in Figure 1, the optimization system 100 is configured to acquire production plan information, power consumption information, and percentage data information via the calculation system 60, and to acquire emission coefficient data information from the external database 50. Alternatively, the optimization system 100 may directly acquire emission coefficient data information from the power receiving and transforming system 20, power consumption information directly from the power consumption measurement system 30, and production plan information directly from the production management system 40.

[0030] Furthermore, the optimization system 100 can also modify existing production plans by creating a production plan for goods in which the emissions when the electrical system 10 is operated in a predetermined operating pattern meet predetermined limiting conditions.

[0031] Furthermore, as mentioned above, in this embodiment, by loading a predetermined control program onto the PLC101 that controls the operation of the inverter 13, the electrical equipment 11 can be operated in an operation pattern corresponding to the control program. In the embodiment shown in Figure 1, the PLC101 and PC102 are installed in the factory 1, and the optimization system 100 is connected to the PLC101 via the PC102. "PC" is an abbreviation for Personal Computer. The optimization system 100 controls the electrical equipment 11 by sending a control program to the PLC101 via the PC102. Communication between the optimization system 100 and the PC102 shall use a general-purpose communication protocol such as Ethernet (registered trademark). The communication path between the optimization system 100 and the PC102 may be either wired or wireless. In addition, the PLC101 may have a function to communicate directly with the optimization system 100. For example, in an embodiment in which the optimization system 100 is installed inside the factory 1, if the PLC101 has this function, the PC102 is unnecessary.

[0032] Next, Figure 2 will be described. Figure 2 shows a detailed configuration example of the optimization system 100 that implements the present invention.

[0033] The optimization system 100 shown in Figure 2 comprises an input receiving unit 110, a communication unit 120, a data storage unit 130, a simulation calculation unit 140, a control unit 150, and a machine learning unit 160.

[0034] The input reception unit 110 receives various instructions and data inputs from users such as administrators of the optimization system 100.

[0035] The communication unit 120 provides communication functions for an external database 121, a calculation system 122, a production management system 123, and a PLC 124.

[0036] The external database communication function 121 is a function that communicates between the external database 50 and the optimization system 100 to exchange various types of data.

[0037] The calculation system communication function 122 is a function that communicates between the calculation system 60 and the optimization system 100 to exchange various types of data.

[0038] The production management system communication function 123 is a function that communicates between the production management system 40 and the optimization system 100 to exchange various types of data.

[0039] The PLC communication function 124 is a function that communicates between the PLC 101 and the optimization system 100 to exchange various types of data.

[0040] Furthermore, the communication unit 120 may also be provided with the function of directly communicating with the power receiving and transforming system 20 and the power consumption measurement system 30 to exchange various types of data.

[0041] The data storage unit 130 stores and saves various instructions and data acquired by each of the communication units 120.

[0042] Here, an example of how data acquired by the communication unit 120 is stored in the data storage unit 130 will be explained with reference to Figure 3.

[0043] The ratio data table 131 is a table that stores the aforementioned ratio data held by the power receiving and transforming system 20, which is obtained via the calculation system 60, in association with the date and time of acquisition, etc.

[0044] The power consumption table 132 is a table that stores the measured power consumption data of each electrical device 11, which is acquired via the calculation system 60 and collected by the power consumption measurement system 30, in association with the operating pattern of the electrical device 11 at the time the power consumption was measured. In addition, the power consumption table 132 also stores information such as the date and time the power consumption was acquired, and information that identifies the electrical device 11, such as the device name and serial number, in association with the measured power consumption data.

[0045] The production plan information table 133 is a table that stores production plan information for the production of goods at factory 1, which is obtained via the calculation system 60 and is held by the production management system 40. The production plan information includes, for example, information that associates the brand name (name of the goods to be produced), the production quantity of the goods to be produced, and the production time (production schedule) of the goods to be produced.

[0046] The emissions coefficient table 134 is a table that stores and accumulates data such as emissions coefficients for each power source used to operate Factory 1, which are obtained from the external database 50.

[0047] In this embodiment, the data to be stored by the data storage unit 130 and the source from which the data is acquired are set in the optimization system 100 in advance, so that the communication unit 120 automatically acquires the data at predetermined time intervals.

[0048] Returning to the explanation of Figure 2, the simulation calculation unit 140 has an estimation unit 141 and a determination unit 142 as functional blocks.

[0049] The estimation unit 141 operates each electrical device 11 of the electrical system 10 used for producing goods in a predetermined operating pattern to simulate the production of goods according to a predetermined production plan, and estimates the amount of carbon dioxide emissions from this production of goods. In other words, the estimation unit 141 estimates the amount of emissions from the power generation that would be consumed by the electrical system 10 when producing goods according to predetermined production plan information by operating each electrical device 11 constituting the electrical system 10 in a predetermined operating pattern.

[0050] In this embodiment, the estimation unit 141 uses a device model for each of the electrical devices 11 for this estimation. The device model is a model that shows the relationship between the operating pattern and power consumption of the electrical device 11, that is, a model that outputs the power consumption of the electrical device 11 when the electrical device 11 is operated according to the operating pattern input. Such a device model can be obtained, for example, by mathematically modeling the physical configuration of the electrical device 11. Alternatively, the power consumption of the electrical device 11 may be measured repeatedly when it is operated according to different operating patterns to acquire a large amount of measured data on operating patterns and power consumption, and a model obtained by machine learning using the obtained data may be used as the device model. In this embodiment, the device models for each of the electrical devices 11 created by such methods are registered in advance in the estimation unit 141.

[0051] The estimation unit 141 obtains an estimated value of the power consumption of each electrical device 11 when each electrical device 11 of the electrical system 10 used for the production of goods is operated in a predetermined operating pattern and goods are produced according to a predetermined production plan, using the equipment model described above. Next, the estimation unit 141 calculates the total of the estimated power consumption values ​​obtained for each electrical device 11 as the estimated power consumption of the electrical system 10 used for the production of goods. After that, the estimation unit 141 converts the calculated estimated power consumption value into carbon dioxide emissions to obtain the estimation result.

[0052] For the conversion of emissions, the percentage data and emission coefficient data stored in the data storage unit 130 are used. First, for each power supplier to Factory 1, the emission coefficient for that supplier, as shown in the current emission coefficient data, is multiplied by the power supply ratio to Factory 1 of that supplier, as shown in the current percentage data. Next, the emission coefficient for Factory 1, that is, the amount of carbon dioxide emissions per unit of power consumption at Factory 1, is calculated by summing the multiplication results obtained for each supplier. By multiplying this emission coefficient for Factory 1 by the power consumption amount described above, an estimated value of carbon dioxide emissions when goods are produced in the electrical system 10 is obtained.

[0053] The estimation unit 141 changes the operating pattern within a variable range and calculates an estimated value of carbon dioxide emissions for each of the changed operating patterns.

[0054] The determination unit 142 uses the emission estimation results from the estimation unit 141 to determine, for each electrical device 11 that constitutes the electrical system 10, the operation pattern when the emissions from the electrical system 10 used for the production of goods meet predetermined limiting conditions.

[0055] The predetermined limiting conditions that form the basis for determining the operation pattern by the determination unit 142 are, for example, the condition that the amount of emissions is minimized. Furthermore, this limiting condition is, for example, that the amount of emissions is less than or equal to a specified amount.

[0056] If the predetermined limiting condition is the minimum emission condition, the determination unit 142 identifies the smallest estimated value among multiple estimated values ​​calculated by repeatedly calculating the estimated emission value by the estimation unit 141. The determination unit 142 determines the operating pattern that was input to the equipment model of each electrical equipment 11 when the amount of power consumption corresponding to this smallest estimated value was obtained as the operating pattern that results in the minimum emission.

[0057] Furthermore, if the predetermined limiting condition is that emissions are below a specified amount, this specified amount is specified by a user, such as the administrator of the optimization system 100. The determination unit 142 extracts an estimated value that is below the specified amount from among a plurality of estimated values ​​calculated by repeatedly calculating the estimated emission values ​​by the estimation unit 141. For each of the extracted estimated values, the determination unit 142 identifies the operating pattern that was input to the equipment model of each electrical equipment 11 when the amount of power consumption corresponding to the extracted estimated value was obtained. The determination unit 142 then determines one of the operating patterns identified in this way as the operating pattern when emissions are below the specified amount.

[0058] The method used by the determination unit 142 to determine one of the identified operation patterns can be any method. For example, the determination unit 142 may determine the operation pattern for which the extracted estimated value is closest to the specified amount from among the identified operation patterns, and use that as the operation pattern when the discharge amount is less than or equal to the specified amount. In other embodiments, the determination unit 142 may make multiple of the identified operation patterns the result of the determination. For example, all of the identified operation patterns may be made the result of the determination, and from among them, the operation pattern judged to be good by a user such as the production manager of factory 1 may be selected.

[0059] Furthermore, the determination unit 142 may use the estimated carbon dioxide gas emission results to determine and output production plan information when the emissions of each electrical device 11 constituting the electrical system 10, when operated in a specific operating pattern, satisfy predetermined limiting conditions. In this case, the estimation unit 141 estimates the carbon dioxide gas emission according to multiple production plan information. These operations by the estimation unit 141 and the determination unit 142 are performed, for example, when a predetermined instruction is received from a user, such as the administrator of the optimization system 100, for example, an instruction to change the production plan.

[0060] If the predetermined limiting condition at this time is, for example, the condition that emissions are minimized, the estimation unit 141 modifies the production plan across the entire range of permitted changes and repeatedly calculates the estimated carbon dioxide emissions for each of the modified production plans. In this estimation, the operation pattern input to the equipment model of each electrical equipment 11 is a specific pattern, for example, the operation pattern set for the electrical equipment 11 in the current production of goods at factory 1. Subsequently, the determination unit 142 identifies the smallest estimated value among the multiple estimated values ​​calculated by the repeated calculation of emission estimates by the estimation unit 141. The determination unit 142 determines the production plan when the estimation unit 141 calculates the amount of power consumption corresponding to this smallest estimated value as the production plan that minimizes emissions, and outputs the information of the determined production plan.

[0061] Furthermore, if the predetermined limiting condition at this time is that emissions are less than or equal to a specified amount, the estimation unit 141 modifies the production plan across the entire range of permitted changes and repeatedly calculates an estimated value of carbon dioxide emissions for each of the modified production plans. In this estimation, the same specific patterns as described above are used as the input operating patterns for the equipment models of each electrical equipment 11. Subsequently, the determination unit 142 extracts an estimated value that is less than or equal to the specified amount from among the multiple estimated values ​​calculated by the repeated calculation of emission estimates by the estimation unit 141. For each of the extracted estimated values, the determination unit 142 identifies the production plan when the estimation unit 141 calculated the amount of power consumption corresponding to the extracted estimated value. The determination unit 142 then determines one of the production plans identified in this way as the production plan when emissions are less than or equal to the specified amount, and outputs the information of the determined production plan.

[0062] The method by which the decision unit 142 determines one of the identified production plans as the production plan when emissions fall below a specified amount is arbitrary. For example, the decision unit 142 may determine the production plan for which the extracted estimated value is closest to the specified amount from among the identified production plans as the production plan when emissions fall below a specified amount. In other embodiments, the decision unit 142 may make multiple of the production plans identified in this way the result of the decision. For example, all of the identified production plans may be made the result of the decision, and a production plan deemed suitable by a user, such as the production manager of factory 1, may be selected from among them.

[0063] The control unit 150 provides an operation pattern changing function 151. The operation pattern changing function 151 is a function that, when the determination unit 142 determines an operation pattern that satisfies predetermined limiting conditions for emissions, changes the operation pattern set for each electrical equipment 11 in the current production of goods at factory 1 to the determined operation pattern.

[0064] The control unit 150, which provides the operation pattern change function 151, creates a control program to instruct the PLC 101 to change the operation pattern of the electrical equipment 11 to the determined operation pattern, sends it to the PLC 101 from the communication unit 120, and has it executed. In other words, the control unit 150 controls each electrical equipment 11 that makes up the electrical system 10 and operates it according to the determined operation pattern.

[0065] Furthermore, when the determination unit 142 determines a production plan in which emissions meet predetermined limiting conditions, the control unit 150 provides a production plan change function 152. The production plan change function 152 is a function that, when the determination unit 142 determines a production plan in which emissions meet predetermined limiting conditions, sends information of the determined production plan from the communication unit 120 to the production management system 40, and changes the production plan of goods at factory 1 to the determined production plan.

[0066] The machine learning unit 160 performs machine learning on the equipment model of the electrical equipment 11, which is pre-registered in the estimation unit 141 of the simulation calculation unit 140, to improve the accuracy of the equipment model. For this machine learning, training data is used, which is data obtained from the power consumption measurement system 30 that associates the operation patterns for each electrical equipment 11 with the measured power consumption when each electrical equipment 11 is operated according to that operation pattern.

[0067] The optimization system 100 shown in Figure 2 has the configuration described above.

[0068] Next, Figure 4 will be explained. Figure 4 shows an example of the hardware configuration of the information processing device 200. This information processing device 200 can function as an optimization system 100.

[0069] The information processing device 200 comprises the following hardware components: a CPU 201, memory 202, auxiliary storage device 203, input device 204, communication I / F circuit 205, and output device 206. All of these components are connected to the communication bus 207, and are configured to allow data exchange between them. "CPU" is an abbreviation for Central Processing Unit, and "I / F" is an abbreviation for Interface.

[0070] The CPU 201 controls each component of the information processing device 200 by executing a predetermined program using the memory 202, for example, thereby enabling the information processing device 200 to provide its various functions.

[0071] Memory 202 is, for example, a semiconductor memory, and includes a RAM area and a ROM area. "RAM" is an abbreviation for Random Access Memory, and "ROM" is an abbreviation for Read Only Memory.

[0072] The auxiliary storage device 203 is a non-volatile storage device, such as a flash memory or a hard disk drive. When the information processing device 200 functions as an optimization system 100, the auxiliary storage device 203 is used, for example, as a data storage unit 130, and also as a storage location for equipment models for each electrical device 11 that are pre-registered in the estimation unit 141.

[0073] The input device 204 is a keyboard, pointing device, etc., for inputting various instructions and data, operated by a user such as the administrator of the optimization system 100. When the information processing device 200 functions as the optimization system 100, the input device 204 provides the function of an input receiving unit 110.

[0074] The communication interface circuit 205 is a circuit that communicates with the production management system 40, external database 50, calculation system 60, PLC 101, etc., and the information processing device 200 via a communication network (not shown) to exchange various types of data. When the information processing device 200 functions as an optimization system 100, the communication interface circuit 205 provides the function of a communication unit 120.

[0075] The output device 206 is used for outputting various types of information, such as a display device.

[0076] An information processing device 200 having the hardware configuration example described above can be made to function as an optimization system 100. Furthermore, it is also possible to make it function as an optimization system 100 using a cloud computing environment that utilizes computing resources on the internet.

[0077] Next, the control processing performed by the optimization system 100 will be described. Figure 5 is a flowchart showing an example of this control processing. In order to have the information processing device 200 shown in Figure 4 perform this control processing, a control program is created to have the CPU 201 perform this control processing, and the CPU 201 execute it.

[0078] The control process shown in Figure 5 is initiated, for example, each time a predetermined amount of time has elapsed. Alternatively, the control process may be initiated when a user, such as the administrator of the optimization system 100, inputs a predetermined start command, and the input receiving unit 110 receives this input.

[0079] When the process shown in Figure 5 is initiated, in S10, the simulation calculation unit 140 first performs the process of acquiring emission coefficient and percentage data and production plan information from the data storage unit 130 at the time of execution of this process.

[0080] Next, in S20, the simulation calculation unit 140 performs the process of obtaining instructions from the input reception unit 110 regarding the changes to be made by the control unit 150. In this embodiment, the instructions obtained through this process are either instructions to change the operating patterns currently set for each electrical device 11, or instructions to change the current production plan for goods in factory 1. These instructions are made by a user, such as the administrator of the optimization system 100, and are input to the input reception unit 110.

[0081] Next, in S30, the simulation calculation unit 140 performs a process to determine the target of the change related to the instruction obtained in the process of S20. In this determination process, if the target of the change is the operation pattern currently set for each electrical device 11, the process proceeds to S100. On the other hand, in this determination process, if the target of the change is the current production plan for the goods, the process proceeds to S200.

[0082] In S100, the simulation calculation unit 140 performs the first carbon dioxide emission estimation process, and in the subsequent S110, the simulation calculation unit 140 performs the operation pattern determination process.

[0083] The first carbon dioxide emission estimation process is a process that provides the function of an estimation unit 141. That is, the first carbon dioxide emission estimation process is a process that estimates the emissions from power generation of the amount of electricity consumed when each electrical device 11 constituting the electrical system 10 is operated in a predetermined operating pattern to produce goods in accordance with predetermined production plan information. In the first carbon dioxide emission estimation process, the operating pattern of each electrical device 11 is changed little by little across the entire range of changeable parameters, and each time, an estimated value of carbon dioxide emissions when each electrical device 11 is operated under the changed operating pattern is calculated.

[0084] The operation pattern determination process is a process that provides the function of a determination unit 142. That is, the operation pattern determination process uses the emission estimation results from the estimation unit 141 to determine the operation pattern for each electrical device 11 that constitutes the electrical system 10 when the emission amount when producing goods in the electrical system 10 satisfies predetermined limiting conditions.

[0085] Details of the first carbon dioxide emission estimation process and operation pattern determination process will be described later.

[0086] In S120, as a process to provide the operation pattern change function 151, the control unit 150 changes the operation pattern set for each electrical device 11 to match the operation pattern determined by the process in S110. Then, in the following S130, the control unit 150 sends the changed operation pattern to the PLC 101.

[0087] In the S130 process, first, a control program is generated to instruct the PLC101 to perform control to change to the modified operation pattern resulting from the S120 process. Then, the communication unit 120 is controlled to send the generated control program to the PLC101.

[0088] Once the process in S130 is complete, the control process shown in Figure 5 is finished.

[0089] Meanwhile, in S200, the simulation calculation unit 140 performs a second carbon dioxide emission estimation process, and in the subsequent S210, the simulation calculation unit 140 performs a production plan determination process.

[0090] The second carbon dioxide emission estimation process also provides the function of an estimation unit 141. That is, the second carbon dioxide emission estimation process also estimates the emissions from power generation of electricity consumed when producing goods in accordance with predetermined production plan information by operating each electrical device 11 constituting the electrical system 10 in a predetermined operating pattern. However, in the second carbon dioxide emission estimation process, the production plan is changed little by little across the entire range of permissible changes, and each time, an estimated value of carbon dioxide emissions when goods are produced under the changed production plan is calculated.

[0091] The production plan determination process is also a process that provides the function of a determination unit 142. However, in the production plan determination process, the estimated emission results are used to determine production plan information when the emission amount when each electrical equipment 11 constituting the electrical system 10 is operated in a specific operating pattern satisfies predetermined limiting conditions.

[0092] Details of the second carbon dioxide emission estimation process and production plan determination process will be described later.

[0093] In S220, as a process to provide the production plan change function 152, the control unit 150 changes the current production plan for goods at factory 1 to the production plan determined by the process in S210. Then, in the following S230, the control unit 150 outputs the changed production plan and sends it to the production management system 40.

[0094] In the S230 process, the communication unit 120 is controlled to send the production plan modified in the S220 process to the production management system 40.

[0095] Once the processing in S230 is complete, the control process shown in Figure 5 is finished.

[0096] The process described above is the control process shown in Figure 5.

[0097] Next, we will explain in more detail the first carbon dioxide emission estimation process, which is the process S100 in the control process shown in Figure 5. Figure 6 is a flowchart showing the processing details of the first carbon dioxide emission estimation process.

[0098] When the process shown in Figure 6 begins, first, in S101, the simulation calculation unit 140 performs the process of acquiring equipment models for each electrical device 11 of the electrical system 10 that have been registered in advance. When the information processing device 200 is to function as the optimization system 100, as part of the S101 process, the CPU 201 reads the equipment models that have been previously stored in the auxiliary storage device 203.

[0099] Next, in S102, the simulation calculation unit 140 performs the process of acquiring the currently set operating patterns for each electrical device 11 in factory 1. In this process, the simulation calculation unit 140 acquires the currently set operating patterns for each electrical device 11, for example, from the power consumption table 132 of the data storage unit 130. Alternatively, the simulation calculation unit 140 may acquire the information on the currently set operating patterns for each electrical device 11 from the PLC 101.

[0100] In S103, the simulation calculation unit 140 inputs the operation patterns for each electrical device 11 into the device model for each electrical device 11 of the electrical system 10. Then, in the following S104, the simulation calculation unit 140 retrieves the production plan information stored in the data storage unit 130 and estimates the amount of power consumed by the electrical system 10 when producing goods by executing this production plan information.

[0101] The estimation of power consumption by the S104 process is performed as described above. Specifically, first, estimated power consumption values ​​are obtained from the equipment models of each electrical device 11 of the electrical system 10 used when production of goods is carried out by executing production plan information, based on the input of the operation pattern by the S103 process. Then, by summing the estimated power consumption values ​​obtained from each equipment model, an estimated power consumption value for the electrical system 10 is calculated.

[0102] In S105, the simulation calculation unit 140 performs a process to convert the amount of power consumed by the electrical system 10, which was estimated by the processing in S104, into carbon dioxide emissions.

[0103] The conversion to carbon dioxide emissions through the S105 process is performed as described above. Specifically, first, the ratio data and emission coefficient are obtained from the data storage unit 130. Next, for each power supplier to Factory 1, the emission coefficient for that supplier is multiplied by the power supply ratio to Factory 1 of that supplier, as shown in the ratio data. Then, the emission coefficient at Factory 1 is calculated by summing the multiplication results for each supplier. The estimated carbon dioxide emissions when producing goods in the electrical system 10 are obtained by multiplying the emission coefficient at Factory 1 by the amount of power consumed estimated by the S104 process.

[0104] In S106, the simulation calculation unit 140 processes the estimated carbon dioxide emissions obtained from the processing in S105, associating them with the operation patterns input to the equipment model for each electrical equipment 11 in the processing in S103, and saving them. If the information processing device 200 is functioning as the optimization system 100, this information is saved in the auxiliary storage device 203.

[0105] In S107, the simulation calculation unit 140 performs a process to determine whether all operation patterns have been changed across the entire range of variable parameters set for each operation pattern, as a result of the operation pattern change performed in the process of S108 described later. If this determination process determines that all operation patterns have been changed across the entire variable range of each parameter (when the determination result is YES), the process in Figure 6 is terminated and the process returns to the control process in Figure 5. On the other hand, if this determination process determines that there are still operation patterns with parameters that have not been changed across the entire variable range (when the determination result is NO), the process proceeds to S108.

[0106] In S108, the simulation calculation unit 140 modifies the operation pattern for parameters that have not been changed across the entire variable range, thereby changing those parameters. After that, the process returns to S103, and the processes from S103 to S108 are repeated until the judgment result in S107 is YES.

[0107] In the modification process of S108, various parameters set in the operation pattern to be modified are increased or decreased by a predetermined amount. By repeating this process of S108, changes in the values ​​across the entire variable range occur for all parameters set in the operation pattern to be modified, thereby generating operation patterns that correspond to all possible combinations of values ​​for each parameter. The amount of change when increasing or decreasing the various parameters may be changed as needed during the repetition of the process of S108. The variable range and the amount of change for the various parameters may be set by a user such as the administrator of the optimization system 100.

[0108] The process described above constitutes the first carbon dioxide emission estimation process. This process provides a relationship between the operating patterns of each electrical device 11 in the electrical system 10 when goods are produced according to the production plan, and an estimated value of the power consumption of the electrical system 10.

[0109] Next, we will explain in more detail the operation pattern determination process, which is process S110 in the control process shown in Figure 5. Figure 7 is a flowchart showing the processing details of the operation pattern determination process.

[0110] When the process shown in Figure 7 begins, the simulation calculation unit 140 first performs a process in S111 to acquire the carbon dioxide emission limit conditions that serve as the basis for determining the operation pattern. In this embodiment, the limit conditions acquired through this process are either the condition that the emissions are the minimum, or the condition that the emissions are less than or equal to a specified emission amount. The condition that the emissions are less than or equal to a specified emission amount includes the value of the specified emission amount. In this embodiment, these limit conditions are input to the input reception unit 110 by a user such as the administrator of the optimization system 100.

[0111] In S112, the simulation calculation unit 140 performs a process to determine what the limiting condition obtained by the process in S111 was. If this determination process determines that the limiting condition was the minimum emission level, the process proceeds to S113. On the other hand, if this determination process determines that the limiting condition was less than or equal to a specified emission level, the process proceeds to S116.

[0112] In S113, the simulation calculation unit 140 identifies the smallest carbon dioxide emission estimate among the many stored values ​​obtained by repeating the process in S106 in the first carbon dioxide emission estimation process shown in Figure 6. Then, in S114, the simulation calculation unit 140 extracts the operating patterns for each electrical device 11 that are stored in association with the carbon dioxide emission estimate value identified in the process in S113.

[0113] In S115, the simulation calculation unit 140 outputs the operation pattern extracted by the processing in S114 as the result of the determination. After that, this operation pattern determination process is terminated, and the process returns to the control process shown in Figure 5.

[0114] Meanwhile, in S116, the simulation calculation unit 140 identifies carbon dioxide emission estimates that are less than or equal to a specified emission level from among the many carbon dioxide emission estimates stored by repeating the process in S106 in the first carbon dioxide emission estimation process in Figure 6. Then, in S117, the simulation calculation unit 140 extracts the operating patterns for each electrical equipment 11 that are stored in association with each of the carbon dioxide emission estimates identified in the process in S116.

[0115] In S118, the simulation calculation unit 140 outputs one of the operation patterns extracted by the processing in S117 as the result of the decision. After that, this operation pattern determination process is terminated, and the process returns to the control process shown in Figure 5.

[0116] In the processing of S118, the method for determining one of the extracted operating patterns can be any method, as described above. Therefore, for example, the operating pattern whose identified estimated value is closest to the specified emission value among the extracted operating patterns may be determined as the result of the determination. In other embodiments, multiple of the operating patterns identified in this way may be determined as the result of the determination, for example, all of the identified operating patterns may be determined as the result of the determination.

[0117] The process described above constitutes the operation pattern determination process. This process determines the operation pattern for each electrical device 11 when the estimated emissions from the electrical system 10 used in the production of goods according to the production plan meet predetermined limit conditions.

[0118] Next, we will explain in more detail the second carbon dioxide emission estimation process, which is the S200 process in the control process shown in Figure 5. Figure 8 is a flowchart showing the processing details of the second carbon dioxide emission estimation process.

[0119] When the process shown in Figure 8 begins, first, in S201, the simulation calculation unit 140 performs the process of acquiring equipment models for each electrical device 11 of the electrical system 10 that have been registered in advance. When the information processing device 200 is to function as the optimization system 100, as part of the S201 process, the CPU 201 reads the equipment models that have been previously stored in the auxiliary storage device 203.

[0120] In S202, the simulation calculation unit 140 performs the process of inputting a predetermined operating pattern for each electrical device 11 into the device model for each electrical device 11 of the electrical system 10.

[0121] The default operating pattern is set by a user, such as the administrator of the optimization system 100. In this case, as part of the S202 process, the default operating pattern entered by the user into the input receiving unit 110 is input into the device model.

[0122] Alternatively, the operating pattern currently set for each electrical device 11 in factory 1 may be used as the default operating pattern. In this case, as part of the S202 process, for example, the operating pattern currently set for each electrical device 11 is obtained from the PLC 101 and input into the device model.

[0123] In S203, the simulation calculation unit 140 retrieves the production plan information stored in the data storage unit 130 and performs the process of setting the production plan according to this production plan information.

[0124] In S204, the simulation calculation unit 140 performs a process to estimate the power consumption of the electrical system 10 when producing goods according to the set production plan. Then, in the following S205, the simulation calculation unit 140 performs a process to convert the power consumption of the electrical system 10 estimated in the process of S204 into carbon dioxide emissions. These processes in S204 and S205 are the same as the processes in S104 and S105 in the first carbon dioxide emission estimation process (Figure 6) described above.

[0125] In S206, the simulation calculation unit 140 performs a process to save the estimated carbon dioxide emissions obtained from the processing in S205, in association with the production plan that was set at the time of processing in S204. If the information processing device 200 is functioning as the optimization system 100, this information is saved in the auxiliary storage device 203.

[0126] In S207, the simulation calculation unit 140 performs a process to determine whether the production plan has been changed across the entire range of permitted changes due to the changes made in the process of S208 described later. If this determination process determines that the production plan has been changed across the entire range of permitted changes (the determination result is YES), the process in Figure 8 is terminated and the process returns to the control process in Figure 5. On the other hand, if this determination process determines that the production plan has not been changed across the entire range of permitted changes (the determination result is NO), the process proceeds to S208.

[0127] In S208, the simulation calculation unit 140 modifies the currently set production plan within the permissible range. After that, the process returns to S204, and the process from S204 to S208 is repeated until the judgment result in S207 is YES.

[0128] In the S208 production plan modification process, for example, for each item, while ensuring the specified production quantity and production deadline, the production sequence plan for each item, the implementation date and time plan for each production process in the production of each item, and the progress rate plan for each implementation date and time in each production process are modified. By repeating this S208 process, modifications are made to all plans within the range where changes are permitted, and a production plan corresponding to all combinations of the modified plans is generated. The scope and amount of modifications permitted for each plan may be set by a user such as the administrator of the optimization system 100.

[0129] The process described above constitutes the second carbon dioxide emission estimation process. This process provides a relationship between the production plan for goods and the estimated power consumption of the electrical system 10 when each electrical device 11 is operated according to a predetermined operating pattern to produce goods.

[0130] Next, we will explain in more detail the production plan determination process, which is the S210 process in the control process shown in Figure 5. Figure 9 is a flowchart showing the processing details of the production plan determination process.

[0131] When the process shown in Figure 9 begins, first, in S211, the simulation calculation unit 140 performs a process to acquire the carbon dioxide emission limit conditions that will serve as the basis for determining the production plan. Then, in the following S212, the simulation calculation unit 140 performs a process to determine what the limit conditions acquired in the process of S211 were. If this determination process determines that the limit condition was the minimum emission level, the process proceeds to S213. On the other hand, if this determination process determines that the limit condition was less than or equal to a specified emission level, the process proceeds to S216. These processes in S211 and S212 are the same as the processes in S111 and S112 in the operation pattern determination process (Figure 7) described above.

[0132] In S213, the simulation calculation unit 140 identifies the smallest carbon dioxide emission estimate among the many stored values ​​by repeating the process in S206 in the second carbon dioxide emission estimation process shown in Figure 8. Then, in S214, the simulation calculation unit 140 extracts the production plan stored in association with the carbon dioxide emission estimate identified in the process in S213.

[0133] In S215, the simulation calculation unit 140 outputs the production plan extracted by the processing in S214 as the result of the decision. After that, the production plan decision process ends and the process returns to the control process shown in Figure 5.

[0134] Meanwhile, in S216, the simulation calculation unit 140 identifies carbon dioxide emission estimates that are less than or equal to a specified emission level from among the many stored carbon dioxide emission estimates obtained by repeating the process in S206 in the second carbon dioxide emission estimation process shown in Figure 7. Then, in S217, the simulation calculation unit 140 extracts the production plans stored in association with each of the carbon dioxide emission estimates identified in the process in S216.

[0135] In S218, the simulation calculation unit 140 outputs one of the production plans extracted by the processing in S217 as the result of the decision. After that, the production plan decision process ends and the process returns to the control process shown in Figure 5.

[0136] In the processing of S218, the method for determining one of the extracted production plans can be any method, as described above. Therefore, for example, the production plan whose identified estimate is closest to the specified emissions among the extracted production plans may be selected as the result of the decision. Alternatively, multiple of the production plans identified in this way may be selected as the result of the decision. For example, all of the identified production plans may be selected as the result of the decision, and from among them, a user such as the production manager of factory 1 may select the production plan that is deemed most suitable.

[0137] The process described above constitutes the production plan determination process. This process determines a production plan in which the estimated emissions when producing goods using each electrical device 11 operated in a predetermined operating pattern satisfy predetermined limiting conditions.

[0138] Next, the machine learning process performed by the optimization system 100 will be described. The machine learning process is a process that provides the functionality of the machine learning unit 160, and involves performing machine learning on the equipment model of the electrical equipment 11 that is pre-registered in the simulation calculation unit 140 to improve the accuracy of the equipment model.

[0139] Figure 10 is a flowchart showing an example of machine learning processing. To have the information processing device 200 shown in Figure 4 perform this machine learning processing, one should create a machine learning program that has the CPU 201 perform this machine learning processing and have the CPU 201 execute it.

[0140] When the process shown in Figure 10 begins, first, in S301, a timer (not shown) used for measuring elapsed time is initialized and the timer is started.

[0141] In S302, a process is performed to determine whether a predetermined event has occurred that triggers machine learning on the device model of the electrical device 11.

[0142] The content of predetermined events that trigger machine learning is set in advance by a user such as the administrator of the optimization system 100. One example of such an event is when the latest data among the percentage data stored in the data storage unit 130 changes by more than a predetermined change threshold from the data immediately preceding it. Another example is when the difference between the estimated power consumption of the electrical system 10 obtained in the process of S104 in Figure 6 and the value obtained from the actual measured data of each electrical device 11 stored in the data storage unit 130 becomes larger than a predetermined threshold. The determination process in S302 determines whether the occurrence of such an event has been detected.

[0143] In the S302 judgment process, if it is determined that a predetermined event has occurred (the judgment result is YES), the process proceeds to S304. On the other hand, in this judgment process, if it is determined that a predetermined event has not occurred (the judgment result is NO), the process proceeds to S303.

[0144] In S303, the timer count of the timer that was started by the process in S301 is referenced to determine whether the elapsed time since the start of timer measurement has reached a predetermined time. If it is determined in this determination process that the elapsed time has reached the predetermined time (the determination result is YES), the process proceeds to S304. On the other hand, if it is determined in this determination process that the elapsed time has not reached the predetermined time (the determination result is NO), the process returns to S302, and the determination processes in S302 and S303 are repeated.

[0145] The processes described in S301 and S303 above are designed to ensure that the processes from S304 onward are executed at predetermined intervals, even if the predetermined events that trigger machine learning do not occur.

[0146] In S304, the machine learning unit 160 reads out the actual power consumption data for each electrical device 11 collected by the power consumption measurement system 30, which is stored in the data storage unit 130, for each operating pattern of the electrical device 11 when the power consumption was measured. Then, in the following S305, the machine learning unit 160 uses the actual power consumption data for each operating pattern of each electrical device 11 obtained in the process of S304 as training data to machine-learn the device model for each electrical device 11 registered in the estimation unit 141.

[0147] Subsequently, in S306, the machine learning unit 160 updates the equipment models for each electrical device 11 registered in the estimation unit 141 with the equipment models after machine learning processing in S305, and then the process returns to S301 and the above-described process is repeated.

[0148] The process described above constitutes machine learning processing.

[0149] As described above, the optimization system 100 according to this embodiment estimates the amount of carbon dioxide gas emissions from power generation when the electrical system 10 consumes electricity to produce goods by operating each electrical device 11 used in goods production in a predetermined operating pattern and producing goods according to predetermined production plan information. This estimation is performed for multiple operating patterns. Subsequently, the optimization system 100 according to this embodiment uses the estimated emissions to determine the operating pattern for each electrical device 11 constituting the electrical system 10 when the emissions satisfy predetermined limiting conditions. The optimization system 100 according to this embodiment controls each electrical device 11 constituting the electrical system 10 to operate in the determined operating pattern. Therefore, this optimization system 100 makes it possible to produce goods according to the production plan while imposing predetermined limits on carbon dioxide gas emissions.

[0150] Although embodiments of the disclosure and their advantages have been described in detail above, those skilled in the art will be able to make various modifications, additions, and omissions without departing from the scope of the invention as clearly stated in the claims.

[0151] For example, in the optimization system 100 according to the embodiment shown in Figure 2, as described above, the communication unit 120 is configured to automatically collect various types of data to be stored in the data storage unit 130. Alternatively, for example, a user such as the administrator of the optimization system 100 may collect this data and input it manually, and the input receiving unit 110 may receive this input and store it in the data storage unit 130.

[0152] Furthermore, in the optimization system 100 according to the embodiment shown in Figure 2, the estimation unit 141 estimates the amount of electricity consumed when each electrical device 11 constituting the electrical system 10 is operated in a predetermined operating pattern to produce goods according to predetermined production plan information. The determination unit 142 then uses the estimated amount of electricity consumed to determine the operating pattern when the amount of electricity consumed when producing goods satisfies predetermined limiting conditions, or to determine the production plan information when the amount of electricity consumed satisfies predetermined limiting conditions. Alternatively, the estimation unit 141 may estimate the amount of electricity consumed by the electrical system 10 when producing goods according to predetermined production plan information by operating each electrical device 11 constituting the electrical system 10 in a predetermined operating pattern. In this case, the determination unit 142 may use the estimated amount of electricity consumed to determine the operating pattern when the amount of electricity consumed when producing goods satisfies predetermined limiting conditions, or to determine the production plan information when the amount of electricity consumed satisfies predetermined limiting conditions. [Explanation of symbols]

[0153] 1 factory 10 Electrical Systems 11 Electrical equipment 12 Rotating machines 13 Inverter 14 Power Consumption Sensor 20 Power receiving and transforming systems 21 rechargeable batteries 30 Power Consumption Measurement System 40 Production Management Systems 50 External Databases 60. System for calculating contribution to carbon dioxide emission reduction 100 Optimization Systems 101 PLC 102 PC 110 Input reception section 120 Communications Department 121 External database communication function 122 Calculation System Communication Function 123 Production Management System Communication Function 124 PLC communication function 130 Data Storage Unit 131 Percentage Data Table 132 Power Consumption Table 133 Production Planning Information Table 134 Emissions Coefficient Table 140 Simulation Calculation Unit 141 Estimation Department 142 Decision Section 150 Control Unit 151 Operation Pattern Change Function 152 Production plan change function 160 Machine Learning Department 200 Information Processing Devices 201 CPU 202 memory 203 Auxiliary storage device 204 Input device 205 Communication I / F Circuit 206 Output device 207 Communications Bus

Claims

1. An estimation unit estimates, for each of a plurality of operation patterns, the amount of carbon dioxide gas emitted by the power generation that would be consumed by the electrical system when production is carried out in accordance with predetermined production plan information by operating each electrical device constituting the electrical system used for the production of goods in predetermined operation patterns, A determination unit determines, using the estimated emission results, the operation pattern for each electrical device constituting the electrical system when the emission meets predetermined limiting conditions, A control unit that controls each electrical device constituting the aforementioned electrical system and operates it according to the determined operating pattern, A control system characterized by comprising the following features.

2. The control system according to claim 1, characterized in that the predetermined limiting condition is the condition that the emissions are minimized.

3. The control system according to claim 1, characterized in that the predetermined limiting condition is that the amount of emissions is less than or equal to a specified amount.

4. The control system according to claim 1, characterized in that the estimation unit estimates the emissions using an equipment model showing the relationship between the operation pattern and power consumption for each electrical device constituting the electrical system, ratio data showing the proportion of power supplied by each supplier for power supplied from multiple suppliers to the installation location of the electrical system, and emission coefficient data showing the amount of carbon dioxide gas emitted in the power generation of a unit amount at each of the multiple suppliers.

5. The control system according to claim 4, further comprising a machine learning unit that performs machine learning of the equipment model for each electrical device, using the operation patterns and measured power consumption data for each electrical device when each electrical device constituting the electrical system is in operation as training data.

6. When the estimation unit receives a predetermined instruction, it performs the estimation of emissions for each of the multiple production plan information items. When the determination unit receives the predetermined instruction, it uses the estimated emission results to determine and output the production plan information in which the emission amount when each electrical device constituting the electrical system is operated in a specific operating pattern satisfies the predetermined limit conditions. A control system according to any one of claims 1 to 5, characterized by the following:

7. A control method performed by a control system, By operating each electrical device constituting the electrical system used for the production of goods in a predetermined operating pattern, the amount of carbon dioxide gas emitted during the power generation of the amount of electricity consumed by the electrical system when the production is carried out in accordance with predetermined production plan information is estimated for multiple operating patterns. Using the estimated emissions, the operating pattern when the emissions meet predetermined limiting conditions is determined for each electrical device constituting the electrical system. Control each electrical device constituting the aforementioned electrical system and operate it according to the determined operating pattern. A control method characterized by the following:

Images